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Name: Last Pharaon
Type: User
Bio: Blockchain Developer; Solidity; Stellar Ethereum Hyperledger; Ico analyst; Crypto Trader; Crypto Advice
Last Pharaon's Projects
1000_addresses_tutorial_ethereum
3d-photo-inpainting
[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting
3dgridcontentpreview
A grid layout with a magnetic hover effect and a content preview animation.
acrosstheuniverse
airdrop-telegram-bot
Airdrop Telegram bot using JavaScript and Firebase real time database
airdrop_telegram_bot
apple-fifth-avenue
audiobasedimagedistortion
authtut
avatarify-desktop
Successor of Avatarify Python
avatarify-python
Avatars for Zoom, Skype and other video-conferencing apps.
azan
Site de gestion des évènements
bigdata63
bigdataproject
Automatic detection of fake twitter followers
binancesmartchain-nodejs-sdk
blip
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
blockchain-iot
Blochain Hyperledger Fabric + Composer + IOT
blockchain-js
Learn Blockchain Programming with JavaScript: Build your very own Blockchain and decentralized network with JavaScript and Node.js
blockchain-tutorials
This repository provides tutorials and code examples related to Blockchain development.
buyselltokens
calentiel
cataloguegame
- Create : Ajouter un jeu au catalogue, et le stocker dans le localstorage. - Read : Afficher la liste des jeux, et pouvoir voir les détails. - Update : Pouvoir mettre à jour un jeu, et le localstorage. - Delete : Supprimer un jeu de la liste, et mettre à jour le localstorage en conséquent.
chain-syncer
Chain Syncer is a JS module which allows you to synchronize your app with any ethereum-compatible blockchain/contract state. Fast. Realtime. Reliable.
clip-interrogator
Image to prompt with BLIP and CLIP
cog-blip-2
Cog wrapper for Blip-2
crypto
crypto-bot
Telegram bot that accesses the CoinMarketCap API and Binance API to get information on cryptocurrencies
crypto_coinmarket.cap
curationmarkets
detic
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
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